Granite Ridge Resources Stock Statistic Functions Beta
| GRNT Stock | USD 5.93 0.03 0.50% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on Granite Ridge Resources correlated with the market. If Beta is less than 0 Granite Ridge generally moves in the opposite direction as compared to the market. If Granite Ridge Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Granite Ridge Resources is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Granite Ridge is generally in the same direction as the market. If Beta > 1 Granite Ridge moves generally in the same direction as, but more than the movement of the benchmark.
Granite Ridge Technical Analysis Modules
Most technical analysis of Granite Ridge help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Granite from various momentum indicators to cycle indicators. When you analyze Granite charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Granite Ridge Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Granite Ridge Resources. We use our internally-developed statistical techniques to arrive at the intrinsic value of Granite Ridge Resources based on widely used predictive technical indicators. In general, we focus on analyzing Granite Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Granite Ridge's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Granite Ridge's intrinsic value. In addition to deriving basic predictive indicators for Granite Ridge, we also check how macroeconomic factors affect Granite Ridge price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0169 | 0.008884 | 0.0731 | 0.0768 | Price To Sales Ratio | 4.77 | 2.55 | 2.03 | 1.93 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Granite Ridge's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for Granite Stock Analysis
When running Granite Ridge's price analysis, check to measure Granite Ridge's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Granite Ridge is operating at the current time. Most of Granite Ridge's value examination focuses on studying past and present price action to predict the probability of Granite Ridge's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Granite Ridge's price. Additionally, you may evaluate how the addition of Granite Ridge to your portfolios can decrease your overall portfolio volatility.